AIMC Topic: Multidetector Computed Tomography

Clear Filters Showing 31 to 40 of 67 articles

3D cone-beam CT with a twin robotic x-ray system in elbow imaging: comparison of image quality to high-resolution multidetector CT.

European radiology experimental Sep 8, 2020
BACKGROUND: Elbow imaging is challenging with conventional multidetector computed tomography (MDCT), while cone-beam CT (CBCT) provides superior options. We compared intra-individually CBCT versus MDCT image quality in cadaveric elbows.
Imaging, Three-Dimensional Robotics Elbow Cadaver Multidetector Computed Tomography Humans Cone-Beam Computed Tomography
View on PubMed DOI

Automated detection and quantification of COVID-19 pneumonia: CT imaging analysis by a deep learning-based software.

European journal of nuclear medicine and molecular imaging Jul 14, 2020
BACKGROUND: The novel coronavirus disease 2019 (COVID-19) is an emerging worldwide threat to public health. While chest computed tomography (CT) plays an indispensable role in its diagnosis, the quantification and localization of lesions cannot be ac...
Reverse Transcriptase Polymerase Chain Reaction Coronavirus Infections COVID-19 Testing Linear Models Multidetector Computed Tomography Lung Deep Learning Adolescent Child Clinical Laboratory Techniques Humans Aged, 80 and over Retrospective Studies Betacoronavirus Software Female Young Adult Pneumonia, Viral Pandemics Adult SARS-CoV-2 Male COVID-19 Aged Middle Aged
View on PubMed DOI

Machine Learning Framework to Identify Individuals at Risk of Rapid Progression of Coronary Atherosclerosis: From the PARADIGM Registry.

Journal of the American Heart Association Feb 22, 2020
Background Rapid coronary plaque progression (RPP) is associated with incident cardiovascular events. To date, no method exists for the identification of individuals at risk of RPP at a single point in time. This study integrated coronary computed to...
Registries Coronary Artery Disease Multidetector Computed Tomography Plaque, Atherosclerotic Computed Tomography Angiography Time Factors Predictive Value of Tests Coronary Angiography Radiographic Image Interpretation, Computer-Assisted Humans Machine Learning Prospective Studies Female Aged Male Middle Aged Disease Progression Diagnosis, Computer-Assisted
View on PubMed DOI

Application of deep learning to the diagnosis of cervical lymph node metastasis from thyroid cancer with CT: external validation and clinical utility for resident training.

European radiology Feb 17, 2020
PURPOSE: This study aimed to validate a deep learning model's diagnostic performance in using computed tomography (CT) to diagnose cervical lymph node metastasis (LNM) from thyroid cancer in a large clinical cohort and to evaluate the model's clinica...
Cohort Studies Thyroid Neoplasms ROC Curve Lymph Nodes Neck Humans Artificial Intelligence Algorithms Diagnosis, Computer-Assisted Deep Learning Internship and Residency Lymphatic Metastasis Radiology Education, Medical, Graduate Multidetector Computed Tomography
View on PubMed DOI

Identification and Quantification of Cardiovascular Structures From CCTA: An End-to-End, Rapid, Pixel-Wise, Deep-Learning Method.

JACC. Cardiovascular imaging Oct 11, 2019
OBJECTIVES: This study designed and evaluated an end-to-end deep learning solution for cardiac segmentation and quantification.
Radiographic Image Interpretation, Computer-Assisted Registries Heart Diseases Multidetector Computed Tomography Computed Tomography Angiography Middle Aged Deep Learning Predictive Value of Tests Coronary Angiography Humans Prospective Studies Female Reproducibility of Results Aged Male
View on PubMed DOI

Automated vertebrae localization and identification by decision forests and image-based refinement on real-world CT data.

La Radiologia medica Sep 14, 2019
PURPOSE: Development of a fully automatic algorithm for the automatic localization and identification of vertebral bodies in computed tomography (CT).
Humans Machine Learning Anatomic Landmarks Aged, 80 and over Algorithms Spine Young Adult Retrospective Studies Datasets as Topic Adult Aged Multidetector Computed Tomography Middle Aged Decision Trees
View on PubMed DOI

Diagnostic Performance of Machine Learning Based CT-FFR in Detecting Ischemia in Myocardial Bridging and Concomitant Proximal Atherosclerotic Disease.

The Canadian journal of cardiology Aug 27, 2019
BACKGROUND: The diagnostic performance of coronary computed tomography angiography-derived fractional flow reserve (CT-FFR) in detecting ischemia in myocardial bridging (MB) has not been investigated to date.
Female Male Middle Aged Severity of Illness Index Coronary Stenosis ROC Curve Coronary Angiography Humans Fractional Flow Reserve, Myocardial Atherosclerosis Machine Learning Myocardial Bridging Multidetector Computed Tomography Retrospective Studies Computed Tomography Angiography
View on PubMed DOI

Impact of Coronary Computerized Tomography Angiography-Derived Plaque Quantification and Machine-Learning Computerized Tomography Fractional Flow Reserve on Adverse Cardiac Outcome.

The American journal of cardiology Aug 8, 2019
This study investigated the impact of coronary CT angiography (cCTA)-derived plaque markers and machine-learning-based CT-derived fractional flow reserve (CT-FFR) to identify adverse cardiac outcome. Data of 82 patients (60 ± 11 years, 62% men) who u...
Follow-Up Studies Coronary Angiography Coronary Vessels Multidetector Computed Tomography Plaque, Atherosclerotic Computed Tomography Angiography Coronary Stenosis Fractional Flow Reserve, Myocardial Male Middle Aged Severity of Illness Index ROC Curve Humans United States Prognosis Machine Learning Retrospective Studies Female Survival Rate
View on PubMed DOI

Grading of Clear Cell Renal Cell Carcinomas by Using Machine Learning Based on Artificial Neural Networks and Radiomic Signatures Extracted From Multidetector Computed Tomography Images.

Academic radiology May 27, 2019
RATIONALE AND OBJECTIVES: To evaluate the ability of artificial neural networks (ANN) fed with radiomic signatures (RSs) extracted from multidetector computed tomography images in differentiating the histopathological grades of clear cell renal cell ...
Carcinoma, Renal Cell Humans Neural Networks, Computer Machine Learning Retrospective Studies Diagnosis, Differential Kidney Neoplasms Multidetector Computed Tomography
View on PubMed DOI

Head and neck squamous cell carcinoma: prediction of cervical lymph node metastasis by dual-energy CT texture analysis with machine learning.

European radiology Apr 12, 2019
OBJECTIVES: This study was conducted in order to evaluate a novel risk stratification model using dual-energy CT (DECT) texture analysis of head and neck squamous cell carcinoma (HNSCC) with machine learning to (1) predict associated cervical lymphad...
Neoplasm Staging Lymph Nodes Humans Multidetector Computed Tomography Squamous Cell Carcinoma of Head and Neck Machine Learning Head and Neck Neoplasms Female Neck Male Lymphatic Metastasis
View on PubMed DOI
Popular Topics
Recent Journals